Identification of robust focus measure functions for the automated capturing of focused images from Ziehl-Neelsen stained sputum smear microscopy slide-Reference-Cited by-同舟云学术

Identification of robust focus measure functions for the automated capturing of focused images from Ziehl-Neelsen stained sputum smear microscopy slide

Published:2017-06-02 Issue:8 Volume:91 Page:800-809
ISSN:1552-4922
Container-title:Cytometry Part A
language:en
Short-container-title:Cytometry

Author:

Shah M.I.¹,Mishra S.¹,Sarkar M.²,Rout C.¹

Affiliation:

1. Department of Biotechnology & Bioinformatics; Jaypee University of Information Technology; Waknaghat Solan Himachal Pradesh 173234 India

2. Department of Pulmonary Medicine; Indira Gandhi Medical College; Shimla 171001 India

Publisher

Wiley

Subject

Cell Biology,Histology,Pathology and Forensic Medicine

Reference34 articles.

1. WHO 2015

2. Computer-assisted screening of Ziehl-Neelsen-stained tissue for mycobacteria algorithm design and preliminary studies on 2,000 images;Tadrous;Am J Clin Pathol,2010

3. Time delays in diagnosis of pulmonary tuberculosis: A systematic review of literature;Sreeramareddy;BMC Infect Dis,2009

4. A review of automatic methods based on image processing techniques for tuberculosis detection from microscopic sputum smear images;Panicker;J Med Syst,2016

5. Evaluation of light emitting diode-based fluorescence microscopy for the detection of mycobacteria in a tuberculosis-endemic region;Shenai;Int J Tuberc Lung Dis,2011

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